Leaf Disease Detection using Deep Learning
Plant Leaf Disease Detection using Image Processing, It’s Android App based project developed using Java and Android. Where user can upload image or it works through phone camera where it will scan that plant leaf and provide the disease information, curative treatment and preventive measures.
Plant Leaf Disease Detection employs neural networks to identify and diagnose diseases affecting plant leaves, promoting early intervention and effective disease management. By analyzing images of plant leaves, the system accurately detects symptoms of diseases such as blight, rust, or powdery mildew. This application aids farmers in preserving crop health, preventing widespread infections, and optimizing agricultural practices. The neural networks’ ability to recognize subtle patterns and variations enhances the accuracy of disease detection.
Plant Leaf Disease Detection using Image Processing, In this video will detect the disease from plant leaf, user have to first create the account and login with same credential, if the password is incorrect then it will gave warning or else dashboard will open. Graphical User Interface designed using Android and Machine Learning Model is trained on large dataset of different fruits with their diseases and also provide supplements details. For leaf disease detection, user have to select the input image of leaf and it will detect the disease in plant leaf and simultaneously it will show probability in percentage and provide the brief description of disease and also suggest the supplements for that particular plant leaf. It will suggest for prevent this plant disease and method to control the disease.
Plant Disease Detection using CNN
Software Requirements :-
- Coding Language : Python
- Implementation: Software Framework.
- Operating system : Windows 10 / 11.
- Graphical User Interface : Tkinter
Hardware Requirement:-
- Input Devices : Keyboard, Mouse.
- System : Pentium i3 Processor.
- Hard Disk : 500 GB.
- RAM : 4 GB.
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